RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of the Brazilian Chemical Society (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000400683 |
Resumo: | In this review, we show improvements to the semiempirical quantum chemical method RM1 and present a wide range of its applications as reported by researchers of various areas, such as theoretical, organic, physical, analytical, and inorganic chemistry, as well as their interfaces with medicinal chemistry, biology, and materials science. Success of RM1 is seemingly due to its ability to predict structural, energetic, electronic and wave function dependent properties of the investigated systems, coupled with its low computational demand required to perform calculations when compared to ab initio and density functional methods. Moreover, RM1 is widely available in several computational chemistry softwares, such as MOPAC, GAMESS, Amber, Spartan, HyperChem, and AMPAC. This review describes various case studies that perhaps can be of interest to researchers who might need a more solid basis from which to expand the frontier of applicability of RM1 to even more complex problems on larger systems. |
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RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials ScienceRM1Recife model 1semiempirical methodscomputational chemistryquantum chemistryIn this review, we show improvements to the semiempirical quantum chemical method RM1 and present a wide range of its applications as reported by researchers of various areas, such as theoretical, organic, physical, analytical, and inorganic chemistry, as well as their interfaces with medicinal chemistry, biology, and materials science. Success of RM1 is seemingly due to its ability to predict structural, energetic, electronic and wave function dependent properties of the investigated systems, coupled with its low computational demand required to perform calculations when compared to ab initio and density functional methods. Moreover, RM1 is widely available in several computational chemistry softwares, such as MOPAC, GAMESS, Amber, Spartan, HyperChem, and AMPAC. This review describes various case studies that perhaps can be of interest to researchers who might need a more solid basis from which to expand the frontier of applicability of RM1 to even more complex problems on larger systems.Sociedade Brasileira de Química2019-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000400683Journal of the Brazilian Chemical Society v.30 n.4 2019reponame:Journal of the Brazilian Chemical Society (Online)instname:Sociedade Brasileira de Química (SBQ)instacron:SBQ10.21577/0103-5053.20180239info:eu-repo/semantics/openAccessLima,Nathalia B.D.Rocha,Gerd B.Freire,Ricardo O.Simas,Alfredo M.eng2019-03-12T00:00:00Zoai:scielo:S0103-50532019000400683Revistahttp://jbcs.sbq.org.brONGhttps://old.scielo.br/oai/scielo-oai.php||office@jbcs.sbq.org.br1678-47900103-5053opendoar:2019-03-12T00:00Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ)false |
dc.title.none.fl_str_mv |
RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science |
title |
RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science |
spellingShingle |
RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science Lima,Nathalia B.D. RM1 Recife model 1 semiempirical methods computational chemistry quantum chemistry |
title_short |
RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science |
title_full |
RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science |
title_fullStr |
RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science |
title_full_unstemmed |
RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science |
title_sort |
RM1 Semiempirical Model: Chemistry, Pharmaceutical Research, Molecular Biology and Materials Science |
author |
Lima,Nathalia B.D. |
author_facet |
Lima,Nathalia B.D. Rocha,Gerd B. Freire,Ricardo O. Simas,Alfredo M. |
author_role |
author |
author2 |
Rocha,Gerd B. Freire,Ricardo O. Simas,Alfredo M. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Lima,Nathalia B.D. Rocha,Gerd B. Freire,Ricardo O. Simas,Alfredo M. |
dc.subject.por.fl_str_mv |
RM1 Recife model 1 semiempirical methods computational chemistry quantum chemistry |
topic |
RM1 Recife model 1 semiempirical methods computational chemistry quantum chemistry |
description |
In this review, we show improvements to the semiempirical quantum chemical method RM1 and present a wide range of its applications as reported by researchers of various areas, such as theoretical, organic, physical, analytical, and inorganic chemistry, as well as their interfaces with medicinal chemistry, biology, and materials science. Success of RM1 is seemingly due to its ability to predict structural, energetic, electronic and wave function dependent properties of the investigated systems, coupled with its low computational demand required to perform calculations when compared to ab initio and density functional methods. Moreover, RM1 is widely available in several computational chemistry softwares, such as MOPAC, GAMESS, Amber, Spartan, HyperChem, and AMPAC. This review describes various case studies that perhaps can be of interest to researchers who might need a more solid basis from which to expand the frontier of applicability of RM1 to even more complex problems on larger systems. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000400683 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532019000400683 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.21577/0103-5053.20180239 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
publisher.none.fl_str_mv |
Sociedade Brasileira de Química |
dc.source.none.fl_str_mv |
Journal of the Brazilian Chemical Society v.30 n.4 2019 reponame:Journal of the Brazilian Chemical Society (Online) instname:Sociedade Brasileira de Química (SBQ) instacron:SBQ |
instname_str |
Sociedade Brasileira de Química (SBQ) |
instacron_str |
SBQ |
institution |
SBQ |
reponame_str |
Journal of the Brazilian Chemical Society (Online) |
collection |
Journal of the Brazilian Chemical Society (Online) |
repository.name.fl_str_mv |
Journal of the Brazilian Chemical Society (Online) - Sociedade Brasileira de Química (SBQ) |
repository.mail.fl_str_mv |
||office@jbcs.sbq.org.br |
_version_ |
1750318181670453248 |